Towards a knowledge(experience)-based recommender system for crisis management

An early warning system can be defined as a chain of information communication systems comprising sensor, detection, decision, and broker subsystems, in the given order, working in conjunction, forecasting and signaling disturbances adversely affecting the stability of the physical world; and giving sufficient time for the response system to prepare resources and response actions to minimize the impact on the stability of the physical world. In this paper, we present a framework for a recommender system for crisis management. This framework uses the actions already implemented to manage former crises to enhance the management of a given crisis. The main idea is to recommend the actions already implemented in those former crises that are similar (the similarity between two crises is based on some indicators such as the gap (hurricane, tsunami, ...)) as the actions to be implemented. Finally, this paper proposes to exploit the knowledge gained from past experiences to make the best decision (i.e. the best actions to implement) in order to better manage a crisis ready to occur.